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Inventory Management Data Scientist Jobs (NOW HIRING)

Data Scientist Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data ... Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale ...

Data Scientist Washington, DC (Hybrid) About the Role: We are looking for a highly motivated Data ... Work with cloud platforms (e.g., Databricks, AWS, GCP, Azure) to manage data pipelines, large-scale ...

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Inventory Management Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do inventory management data scientist jobs pay per year?

As of Sep 10, 2026, the average yearly pay for inventory management data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What does an inventory management data scientist do?

An Inventory Management Data Scientist analyzes large sets of data related to inventory levels, supply chain processes, and customer demand to optimize stock and improve efficiency. They use statistical models, machine learning, and predictive analytics to forecast inventory needs, minimize shortages, and reduce excess inventory. Their work helps businesses save costs, ensure product availability, and make data-driven decisions about purchasing and distribution.

How does an inventory management data scientist typically collaborate with supply chain and operations teams?

Inventory Management Data Scientists work closely with both supply chain and operations teams to analyze data, forecast demand, and optimize inventory levels. They frequently communicate insights through dashboards and reports, and may participate in cross-functional meetings to ensure analytical models align with business needs. Collaboration often involves translating complex data findings into actionable strategies that help streamline processes, reduce costs, and prevent stockouts or overstock situations. This teamwork is essential for implementing data-driven solutions that have a tangible impact on day-to-day operations.

What are the key skills and qualifications needed to thrive as an inventory management data scientist, and why are they important?

To thrive as an Inventory Management Data Scientist, you need expertise in statistics, data analysis, and inventory optimization, often supported by a degree in data science, statistics, or a related field. Familiarity with programming languages like Python or R, experience using SQL databases, and proficiency with data visualization tools and forecasting software are typically required. Strong problem-solving abilities, effective communication, and business acumen help translate complex data insights into actionable strategies. These skills are crucial for optimizing inventory levels, reducing costs, and supporting efficient supply chain operations.

What is the difference between Inventory Management Data Scientist vs Supply Chain Analyst?

AspectInventory Management Data ScientistSupply Chain Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related fieldBachelor's/Master's in Supply Chain, Logistics, or Business
Work EnvironmentData-driven roles within logistics or retail companiesOperational roles focusing on supply chain processes
Employer & Industry UsageRetail, manufacturing, logistics firmsManufacturing, retail, distribution centers
Common Search & ComparisonYesYes

The Inventory Management Data Scientist focuses on analyzing data to optimize inventory levels using advanced analytics and machine learning. In contrast, a Supply Chain Analyst concentrates on overall supply chain operations, including procurement, logistics, and distribution. Both roles require analytical skills but differ in their focus areas and typical responsibilities within the supply chain ecosystem.

Is an inventory management data scientist job still in demand?

Inventory management data scientist roles are in demand as companies seek to optimize supply chains and inventory levels using data analytics and machine learning tools. These positions often require skills in statistical analysis, programming, and familiarity with inventory management systems, and they are expected to grow with the increasing adoption of data-driven decision-making in logistics and retail sectors.

What are popular job titles related to Inventory Management Data Scientist jobs?

For Inventory Management Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Inventory Management Data Scientist job openings in the United States as of September 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $122,738 per year, or $59 per hour.

Senior Manager, Data Science - Inventory Capabilities

Cave Springs, AR • On-site

Walmart
Retail • 10K+ employees

$110K - $220K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 9 days ago


Walmart rating

6.0

Company rating: 6.0 out of 10

Based on 22,703 frontline employees who took The Breakroom Quiz


Job description

Position Summary...We’re looking for a Sr. Manager Data Scientist to join Walmart’s Inventory Capabilities team, driving the next generation of inventory science and strategy. This individual contributor role will shape models and systems that maximize our Customer Value Proposition (CVP) by ensuring the right items are in the right place, at the right time, in the right quantity — at the lowest cost.
You’ll design, implement, and scale algorithms that connect data science, advanced analytics, and business execution to transform Walmart’s inventory placement, safety stock targets, forecasting, and exits. This is a high-visibility role where your work directly impacts customer availability, delivery speed, cost to serve, and sales growth.
This position is based in Bentonville, AR at Walmart's new Home Office Campus. What you'll do...
  • Applied Research: Analyze large-scale datasets to refine model inputs (forecasts, cost structures, constraints) and improve accuracy and scalability.
  • Model Development: Design and deliver new models and algorithms across forecasting, placement, inventory targets, safety stock, and exits to optimize cost, speed, and customer experience.
  • Optimization & Machine Learning: Apply advanced techniques in optimization, probabilistic forecasting, and ML to improve efficiency and resilience across Walmart’s global network.
  • End-to-End Execution: Lead projects from framing business problems, to building and validating models, to partnering with engineering for deployment.
  • Collaboration & Influence: Translate science into strategy, working with Merchandising, Supply Chain, and Tech partners to align on priorities and deliver measurable impact.
  • Future-Focused Capabilities: Advance scenario modeling, dynamic inventory placement, multi-echelon optimization, and placement orchestration for omni-channel fulfillment.
What you'll Bring...
  • Strong expertise in applied data science and advanced analytics (optimization, forecasting, simulation, machine learning)
  • Comfortability operating at both strategic and technical depth — from building models to influencing enterprise priorities
  • Experience simplifying complex science for senior leaders and business partners to drive adoption and decision-making
  • Ability to excel in ambiguous, high-pressure environments with multiple stakeholders and competing priorities
  • A passion for solving global-scale inventory optimization challenges that directly improve customer experience
  • MBA, MS, or PhD in Operations Research, Industrial Engineering, Applied Mathematics, Statistics, Operations Management, or Supply Chain Management
  • Experience implementing data science models using modern programming languages (e.g., Python, PySpark, R) and using large dataset mining tools (e.g., SQL)
  • Experience with advanced analytical modeling tools, network optimization, and long-range planning
  • Extensive experience or knowledge of eCommerce, retail and supply chain domains and related information systems — search, impressions, conversion, distribution/transportation, sourcing, planning, manufacturing, and inventory management
  • Retail industry experience
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices. Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
For information about benefits and eligibility, see One.Walmart.
The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include :
- Stock

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Minimum Qualifications...

Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications.

Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field. Preferred Qualifications...

Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications.

Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 601 Respect Dr, Bentonville, AR 72716, United States of America Walmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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About Walmart

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From our humble beginnings as a small discount retailer in Rogers, Ark., Walmart has opened thousands of stores in the U.S. and expanded internationally. Through innovation, we're creating a seamless experience to let customers shop anytime and anywhere online and in stores. We are creating opportunities and bringing value to customers and communities around the globe. Walmart operates approximately 10,500 stores and clubs in 19 countries and eCommerce websites. We employ 2.1 million associates around the world — nearly 1.6 million in the U.S. alone.

Industry

Retail and transportation and warehousing

Company size

10,000+ Employees

Headquarters location

Bentonville, AR, US

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